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Coursera's Computing for Data Analysis course on R is now over, with four weeks of free, in-depth training on the R language. While you'll have to wait for the next installment of the course to participate in the full online learning experience, you can still view the lecture videos, courtesy of course presenter Roger Peng's YouTube page. The course materials are helpfully organized into four video playlists by week; I've embedded each week's content below with an index to the individual video chapters.

Week 1:

Introduction

Setting working directory and getting help (Mac)

Setting working directory and getting help (Windows)

How to get help

Overview and history of R

Data Types

Subsetting

Vectorized Operations

Reading/Writing Data: Part 1

Reading/Writing Data: Part 2

The 'str' function

Week 2:

Control Structures in R

Writing Functions

Scoping Rules for R

Optimization Application

The mapply function in R

Using tapply and split in R

Using the apply function in R

Using the lapply function in R

Debugging tools in R

Week 3:

Plotting (base graphics)

Plotting with base graphics demo

Plotting with lattice

Plotting with lattice demo

Mathematical annotation in plots

Simulation in R

Week 4:

Plotting and color in R

Regular expressions

Introduction to the Baltimore homicide data

Regular expressions in R

Classes and methods in R

These videos are a great resource for learning R at your own pace, but if you want the full Coursera experience with exercises and class interaction, you'll be able to find the next instance of the Computing for Data Analysis course when it next runs in January 2013 at the link below.